Decart, a San Francisco, CA-based AI research lab, raised $21M in funding.
The round was led by Sequoia Capital, with participation from Zeev Ventures.
The company intends to use the funds to expand operations and its development efforts.
Founded by Dean Leitersdorf (CEO) and Moshe Shalev (CPO), Decart provides a platform that enables organizations to train massive AI models at scale while reducing training costs and improving efficiency. It ensures reliability during cluster training, providing stability in the face of hardware errors, and supports faster training and inference, resulting in quicker iteration times for AI research, substantial cost savings, and faster delivery.
Within just a few months of launching, Decart achieved early profitability, securing paying enterprise customers and generating millions in revenue. Now, the company is advancing generative AI experiences, building its own foundation models and equipping the AI community with tools to eventually create their own real-time, AI-driven interactive experiences faster than ever before.
FinSMEs
31/10/2024